{"id":"W6943533904","doi":"10.15468/dl.x4wt4j","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001159271,0.001953646,0.001656523,0.005048963,0.001061982,0.002752101,0.002888092,0.002104631,0.1723741],"category_scores_gemma":[0.006759051,0.0009483028,0.001143635,0.01014714,0.0004519144,0.002331283,0.002587799,0.00209158,0.2378063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172044,"about_ca_system_score_gemma":0.002548515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264834,"about_ca_topic_score_gemma":0.03663954,"domain_scores_codex":[0.9988365,0.0001588703,0.0001502073,0.0004027339,0.0002635056,0.0001883157],"domain_scores_gemma":[0.9971789,0.000841041,0.0002625202,0.0007033416,0.0007037358,0.0003105389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002699396,0.00001027137,0.0003440035,0.0005126942,0.00001456176,0.00001367824,0.00002315727,0.0001142797,0.0001119764,0.0004006684,0.9971517,0.001276006],"study_design_scores_gemma":[0.00006482899,0.000007083577,0.001653664,0.0001907608,0.00001418497,0.0000330944,0.00006774823,0.0001304195,0.0001815324,0.0007779167,0.996861,0.00001767583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003191052,0.00002270973,0.00004312415,0.00003285233,0.00001067861,0.000004563743,0.9989169,0.0003238701,0.0006133812],"genre_scores_gemma":[0.0001365192,0.00003014103,0.0001845837,0.00004119236,0.000003038089,0.00003885377,0.9989678,0.0001499791,0.0004479302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8276259,"threshold_uncertainty_score":0.576649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}